The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Report Printed On 

## [1] "2020-04-23"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "2708885 (up from 2623415 yesterday: 3.26 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "190858 (up from 183027 yesterday: 4.28 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 7.05



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 869170 29495 3.51 49954 3371 7.24 5.75
Spain 213024 4635 2.22 22157 440 2.03 10.40
Italy 189973 2646 1.41 25549 464 1.85 13.45
France 159460 2335 1.49 21889 516 2.41 13.73
Germany 153129 2481 1.65 5575 296 5.61 3.64
United Kingdom 139246 4608 3.42 18791 640 3.53 13.49
Turkey 101790 3116 3.16 2491 115 4.84 2.45
Iran 87026 1030 1.20 5481 90 1.67 6.30
China 83884 16 0.02 4636 0 0.00 5.53
Russia 62773 4774 8.23 555 42 8.19 0.88
Brazil 50036 4279 9.35 3331 425 14.62 6.66
Canada 43286 1636 3.93 2241 164 7.90 5.18
Belgium 42797 908 2.17 6490 228 3.64 15.16
Netherlands 35921 889 2.54 4192 124 3.05 11.67
Switzerland 28496 228 0.81 1549 40 2.65 5.44
India 23077 1707 7.99 721 40 5.87 3.12
Portugal 22353 371 1.69 820 35 4.46 3.67
Peru 20914 1664 8.64 572 42 7.92 2.74
Ireland 17607 936 5.61 794 25 3.25 4.51
Sweden 16755 751 4.69 2021 84 4.34 12.06
Austria 15002 77 0.52 522 12 2.35 3.48
Israel 14803 305 2.10 192 3 1.59 1.30
Saudi Arabia 13930 1158 9.07 121 7 6.14 0.87
Japan 12368 856 7.44 328 47 16.73 2.65
Chile 11812 516 4.57 168 8 5.00 1.42
Mexico 11633 2132 22.44 1069 212 24.74 9.19
Ecuador 11183 333 3.07 560 23 4.28 5.01
Singapore 11178 1037 10.23 12 0 0.00 0.11
Pakistan 11155 1079 10.71 237 25 11.79 2.12
Korea, South 10708 14 0.13 240 2 0.84 2.24
Poland 10511 342 3.36 454 28 6.57 4.32
Romania 10096 386 3.98 545 21 4.01 5.40
United Arab Emirates 8756 518 6.29 56 4 7.69 0.64
Denmark 8271 163 2.01 394 10 2.60 4.76
Belarus 8022 741 10.18 60 2 3.45 0.75
Indonesia 7775 357 4.81 647 12 1.89 8.32
Qatar 7764 623 8.72 10 0 0.00 0.13
Norway 7401 63 0.86 194 7 3.74 2.62
Czechia 7187 55 0.77 210 2 0.96 2.92
Ukraine 7170 578 8.77 187 13 7.47 2.61
Philippines 6981 271 4.04 462 16 3.59 6.62
Australia 6661 114 1.74 75 8 11.94 1.13
Serbia 6630 0 0.00 125 0 0.00 1.89
Malaysia 5603 71 1.28 95 2 2.15 1.70
Dominican Republic 5543 243 4.58 265 5 1.92 4.78
Panama 5166 345 7.16 146 5 3.55 2.83
Colombia 4561 205 4.71 215 9 4.37 4.71
Finland 4284 155 3.75 172 23 15.44 4.01
Bangladesh 4186 414 10.98 127 7 5.83 3.03
South Africa 3953 318 8.75 75 10 15.38 1.90
Egypt 3891 232 6.34 287 11 3.99 7.38
Luxembourg 3665 11 0.30 83 3 3.75 2.26
Morocco 3568 122 3.54 155 6 4.03 4.34
Argentina 3435 291 9.26 165 13 8.55 4.80
Algeria 3007 97 3.33 407 5 1.24 13.54
Moldova 2926 148 5.33 80 5 6.67 2.73
Thailand 2839 13 0.46 50 1 2.04 1.76
Greece 2463 55 2.28 125 4 3.31 5.08
Kuwait 2399 151 6.72 14 1 7.69 0.58
Kazakhstan 2289 154 7.21 20 1 5.26 0.87
Hungary 2284 116 5.35 239 14 6.22 10.46
Bahrain 2217 190 9.37 8 1 14.29 0.36
Croatia 1981 31 1.59 50 2 4.17 2.52
Iceland 1789 4 0.22 10 0 0.00 0.56
Uzbekistan 1758 42 2.45 7 0 0.00 0.40
Oman 1716 102 6.32 9 1 12.50 0.52
Iraq 1677 46 2.82 83 0 0.00 4.95
Estonia 1592 33 2.12 45 1 2.27 2.83
Azerbaijan 1548 30 1.98 20 0 0.00 1.29
Armenia 1523 50 3.39 24 0 0.00 1.58
New Zealand 1456 5 0.34 17 3 21.43 1.17
Bosnia and Herzegovina 1413 45 3.29 54 1 1.89 3.82
Lithuania 1398 28 2.04 40 2 5.26 2.86
Slovenia 1366 13 0.96 79 0 0.00 5.78
Cameroon 1334 171 14.70 43 0 0.00 3.22
Slovakia 1325 81 6.51 15 1 7.14 1.13
North Macedonia 1300 41 3.26 56 0 0.00 4.31
Afghanistan 1279 103 8.76 42 2 5.00 3.28
Cuba 1235 46 3.87 43 3 7.50 3.48
Ghana 1154 0 0.00 9 0 0.00 0.78
Bulgaria 1097 73 7.13 52 3 6.12 4.74
Cote d’Ivoire 1004 52 5.46 14 0 0.00 1.39

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 263460 168 0.06 20973 1560 8.04 7.96 13543.02 1078.11 1 in 74
New Jersey 100025 4111 4.29 5426 276 5.36 5.42 11261.30 610.89 1 in 89
Massachusetts 46023 3079 7.17 2360 178 8.16 5.13 6622.49 339.59 1 in 151
California 39561 2217 5.94 1533 112 7.88 3.88 1001.23 38.80 1 in 999
Pennsylvania 38379 2297 6.37 1724 51 3.05 4.49 2997.89 134.67 1 in 334
Illinois 36937 1830 5.21 1688 123 7.86 4.57 2914.89 133.21 1 in 343
Michigan 35296 1330 3.92 2977 164 5.83 8.43 3534.25 298.09 1 in 283
Florida 29648 1339 4.73 987 94 10.53 3.33 1380.41 45.95 1 in 724
Louisiana 25739 481 1.90 1599 126 8.55 6.21 5536.70 343.96 1 in 181
Connecticut 23100 631 2.81 1639 95 6.15 7.10 6479.14 459.71 1 in 154
Texas 22650 1329 6.23 604 48 8.63 2.67 781.15 20.83 1 in 1280
Georgia 21883 669 3.15 881 33 3.89 4.03 2061.05 82.98 1 in 485
Maryland 15737 962 6.51 748 50 7.16 4.75 2603.02 123.72 1 in 384
Ohio 14694 577 4.09 656 46 7.54 4.46 1257.07 56.12 1 in 796
Indiana 13039 601 4.83 706 40 6.01 5.41 1936.81 104.87 1 in 516
Washington 12753 702 5.83 711 64 9.89 5.58 1674.74 93.37 1 in 597
Colorado 11278 387 3.55 552 46 9.09 4.89 1958.42 95.85 1 in 511
Virginia 10998 732 7.13 373 24 6.88 3.39 1288.50 43.70 1 in 776
Tennessee 8266 872 11.79 171 14 8.92 2.07 1209.69 25.02 1 in 827
North Carolina 7820 325 4.34 281 16 6.04 3.59 745.61 26.79 1 in 1341
Missouri 6506 229 3.65 252 14 5.88 3.87 1060.05 41.06 1 in 943
Rhode Island 6256 415 7.10 189 8 4.42 3.02 5905.45 178.41 1 in 169
Alabama 5832 239 4.27 202 6 3.06 3.46 1189.43 41.20 1 in 841
Arizona 5772 299 5.46 249 18 7.79 4.31 757.99 32.70 1 in 1319
Mississippi 5153 259 5.29 201 8 4.15 3.90 1731.43 67.54 1 in 578
Wisconsin 5052 207 4.27 258 10 4.03 5.11 867.68 44.31 1 in 1153
South Carolina 4917 156 3.28 150 10 7.14 3.05 955.00 29.13 1 in 1047
Nevada 4208 127 3.11 195 23 13.37 4.63 1366.16 63.31 1 in 732
Iowa 3924 176 4.70 96 6 6.67 2.45 1243.71 30.43 1 in 804
Utah 3612 167 4.85 35 3 9.38 0.97 1126.65 10.92 1 in 888
Kentucky 3479 101 2.99 191 6 3.24 5.49 778.71 42.75 1 in 1284
District of Columbia 3361 155 4.83 139 12 9.45 4.14 4762.32 196.95 1 in 210
Delaware 3308 108 3.38 92 3 3.37 2.78 3397.13 94.48 1 in 294
Oklahoma 3017 123 4.25 179 9 5.29 5.93 762.45 45.24 1 in 1312
Minnesota 2942 220 8.08 200 21 11.73 6.80 521.67 35.46 1 in 1917
Kansas 2721 390 16.73 113 1 0.89 4.15 933.99 38.79 1 in 1071
Arkansas 2599 323 14.19 45 3 7.14 1.73 861.22 14.91 1 in 1161
New Mexico 2379 169 7.65 78 7 9.86 3.28 1134.57 37.20 1 in 881
Nebraska 2202 389 21.46 47 9 23.68 2.13 1138.33 24.30 1 in 878
Oregon 2127 68 3.30 83 5 6.41 3.90 504.30 19.68 1 in 1983
South Dakota 1956 98 5.27 9 0 0.00 0.46 2211.02 10.17 1 in 452
Idaho 1836 70 3.96 54 3 5.88 2.94 1024.52 30.13 1 in 976
New Hampshire 1670 82 5.16 51 3 6.25 3.05 1228.20 37.51 1 in 814
Puerto Rico 1416 164 13.10 69 6 9.52 4.87 443.37 21.61 1 in 2255
West Virginia 981 42 4.47 31 4 14.81 3.16 548.92 17.35 1 in 1822
Maine 937 30 3.31 44 5 12.82 4.70 697.06 32.73 1 in 1435
Vermont 825 2 0.24 43 3 7.50 5.21 1322.14 68.91 1 in 756
North Dakota 709 30 4.42 15 1 7.14 2.12 930.37 19.68 1 in 1075
Hawaii 596 4 0.68 12 0 0.00 2.01 420.94 8.48 1 in 2376
Wyoming 453 6 1.34 7 1 16.67 1.55 782.71 12.09 1 in 1278
Montana 442 3 0.68 14 0 0.00 3.17 413.56 13.10 1 in 2418
Alaska 337 2 0.60 9 0 0.00 2.67 460.67 12.30 1 in 2171

US Tested- Confirmed- Hospitalized Funnel (All States)

State Level Figures

State Tested Confirmed Hospitalized ConfirmationRate HospitalizationRate TestsPerMillPopl
New York 695920 263460 57103 37.86 21.67 35773.40
New Jersey 200148 100025 7240 49.98 7.24 22533.63
Massachusetts 195076 46023 4493 23.59 9.76 28070.50
California 482097 39561 4929 8.21 12.46 12201.21
Pennsylvania 178708 38379 2750 21.48 7.17 13959.39
Illinois 173316 36937 4877 21.31 13.20 13677.28
Michigan 128321 35296 3611 27.51 10.23 12848.99
Florida 296708 29648 4693 9.99 15.83 13814.68
Louisiana 143315 25739 1727 17.96 6.71 30828.43
Connecticut 71497 23100 1947 32.31 8.43 20053.65
Texas 225078 22650 1649 10.06 7.28 7762.41
Georgia 101062 21883 4069 21.65 18.59 9518.51
Maryland 80100 15737 3477 19.65 22.09 13249.13
Ohio 102325 14694 2960 14.36 20.14 8753.88
Indiana 72040 13039 NA 18.10 NA 10700.78
Washington 147953 12753 544 8.62 4.27 19429.43
Colorado 50645 11278 2123 22.27 18.82 8794.46
Virginia 64518 10998 1753 17.05 15.94 7558.77
Tennessee 123100 8266 793 6.71 9.59 18015.05
North Carolina 96185 7820 486 8.13 6.21 9170.88
Missouri 59450 6506 884 10.94 13.59 9686.47
Rhode Island 44419 6256 576 14.08 9.21 41929.99
Alabama 52641 5832 768 11.08 13.17 10736.08
Arizona 58697 5772 699 9.83 12.11 7708.18
Mississippi 55389 5153 946 9.30 18.36 18610.96
Wisconsin 56508 5052 1318 8.94 26.09 9705.22
South Carolina 44463 4917 837 11.06 17.02 8635.75
Nevada 34749 4208 NA 12.11 NA 11281.57
Iowa 29262 3924 282 13.41 7.19 9274.60
Utah 80627 3612 301 4.48 8.33 25149.11
Kentucky 36075 3479 1105 9.64 31.76 8074.67
District of Columbia 15930 3361 402 21.10 11.96 22571.76
Delaware 16912 3308 290 19.56 8.77 17367.66
Oklahoma 46036 3017 622 6.55 20.62 11634.15
Minnesota 51548 2942 712 5.71 24.20 9140.31
Kansas 21318 2721 442 12.76 16.24 7317.44
Arkansas 31590 2599 291 8.23 11.20 10467.80
New Mexico 41232 2379 331 5.77 13.91 19663.98
Nebraska 17360 2202 NA 12.68 NA 8974.32
Oregon 43976 2127 512 4.84 24.07 10426.44
South Dakota 14065 1956 119 13.91 6.08 15898.78
Idaho 18092 1836 162 10.15 8.82 10095.62
New Hampshire 16012 1670 213 10.43 12.75 11776.03
Puerto Rico 10228 1416 NA 13.84 NA 3202.56
West Virginia 27905 981 108 3.52 11.01 15614.27
Maine 17721 937 150 5.29 16.01 13183.19
Vermont 13852 825 44 5.96 5.33 22199.11
North Dakota 16330 709 65 4.34 9.17 21428.70
Hawaii 26128 596 63 2.28 10.57 18453.65
Wyoming 7567 453 52 5.99 11.48 13074.53
Montana 11875 442 59 3.72 13.35 11110.82
Alaska 12161 337 42 2.77 12.46 16623.72

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 6427 778 13.77 840 13.07 5304 283 14 5.20 4.40
Gujarat 2624 217 9.02 258 9.83 2254 112 9 8.74 4.27
Delhi 2376 128 5.69 808 34.01 1518 50 2 4.17 2.10
Rajasthan 1964 76 4.03 451 22.96 1485 28 1 3.70 1.43
Madhya Pradesh 1687 100 6.30 203 12.03 1401 83 3 3.75 4.92
Tamil Nadu 1683 54 3.31 752 44.68 911 20 2 11.11 1.19
Uttar Pradesh 1510 61 4.21 206 13.64 1280 24 3 14.29 1.59
Telangana 970 27 2.86 252 25.98 693 25 1 4.17 2.58
Andhra Pradesh 893 80 9.84 141 15.79 725 27 3 12.50 3.02
West Bengal 514 91 21.51 103 20.04 396 15 0 0.00 2.92
Kerala 447 10 2.29 316 70.69 129 2 0 0.00 0.45
Karnataka 445 18 4.22 145 32.58 283 17 0 0.00 3.82
Jammu and Kashmir 434 27 6.63 92 21.20 337 5 0 0.00 1.15
Punjab 283 5 1.80 66 23.32 200 17 1 6.25 6.01
Haryana 270 6 2.27 170 62.96 97 3 0 0.00 1.11
Bihar 170 29 20.57 44 25.88 124 2 0 0.00 1.18
Odisha 90 7 8.43 33 36.67 56 1 0 0.00 1.11
Jharkhand 53 7 15.22 8 15.09 42 3 1 50.00 5.66
Uttarakhand 47 1 2.17 24 51.06 23 0 0 NaN 0.00
Himachal Pradesh 40 1 2.56 18 45.00 20 2 0 0.00 5.00
Assam 36 1 2.86 19 52.78 16 1 0 0.00 2.78
Chhattisgarh 36 0 0.00 30 83.33 6 0 0 NaN 0.00
Chandigarh 27 0 0.00 14 51.85 13 0 0 NaN 0.00
Andaman and Nicobar Islands 22 4 22.22 11 50.00 11 0 0 NaN 0.00
Ladakh 18 0 0.00 16 88.89 2 0 0 NaN 0.00
Meghalaya 12 0 0.00 0 0.00 11 1 0 0.00 8.33
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Puducherry 7 0 0.00 4 57.14 3 0 0 NaN 0.00
Manipur 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Tripura 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 0 0.00 1 0 0 NaN 0.00
Dadra and Nagar Haveli 0 0 NaN 0 NaN 0 0 0 NaN NaN
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 302715 70165 1073 1.55 23.18 9192 790 33873 12940 18.44
Emilia-Romagna 146146 23723 289 1.23 16.23 2889 266 12845 3269 13.78
Piemonte 117970 23140 401 1.76 19.62 3039 261 15152 2630 11.37
Veneto 288075 16881 143 0.85 5.86 1189 140 9925 1206 7.14
Toscana 118177 8780 80 0.92 7.43 791 168 6171 723 8.23
Liguria 37842 7049 131 1.89 18.63 783 91 3466 1047 14.85
Lazio 111073 6054 79 1.32 5.45 1385 186 4486 375 6.19
Marche 47662 5952 28 0.47 12.49 727 71 3230 857 14.40
Campania 58324 4238 53 1.27 7.27 539 47 2978 332 7.83
Puglia 50410 3839 109 2.92 7.62 536 55 2936 372 9.69
P.A. Trento 28240 3727 81 2.22 13.20 234 29 1871 382 10.25
Sicilia 62150 2926 43 1.49 4.71 476 34 2301 213 7.28
Friuli Venezia Giulia 52918 2858 41 1.46 5.40 138 18 1135 256 8.96
Abruzzo 31187 2785 52 1.90 8.93 322 31 2100 280 10.05
P.A. Bolzano 33994 2435 19 0.79 7.16 141 17 1494 261 10.72
Umbria 29011 1362 5 0.37 4.69 100 19 355 61 4.48
Sardegna 17844 1254 7 0.56 7.03 90 20 817 98 7.81
Valle d’Aosta 5227 1096 1 0.09 20.97 91 9 463 127 11.59
Calabria 27869 1069 9 0.85 3.84 129 7 823 76 7.11
Basilicata 8511 356 2 0.56 4.18 61 7 229 24 6.74
Molise 4564 284 0 0.00 6.22 19 1 198 20 7.04

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 21838 873 4.16 1243 109 9.61 5.69 2557.84 145.59 1 in 391
Ontario 14068 350 2.55 806 44 5.77 5.73 956.24 54.79 1 in 1046
Alberta 3720 319 9.38 68 2 3.03 1.83 842.94 15.41 1 in 1186
British Columbia 1824 29 1.62 94 4 4.44 5.15 356.88 18.39 1 in 2802
Nova Scotia 827 55 7.12 16 4 33.33 1.93 846.07 16.37 1 in 1182
Saskatchewan 331 5 1.53 4 0 0.00 1.21 280.11 3.39 1 in 3570
Manitoba 262 5 1.95 6 0 0.00 2.29 190.20 4.36 1 in 5258
Newfoundland and Labrador 256 0 0.00 3 0 0.00 1.17 491.02 5.75 1 in 2037
New Brunswick 118 0 0.00 0 0 NaN 0.00 151.28 0.00 1 in 6610
Prince Edward Island 26 0 0.00 0 0 NaN 0.00 164.39 0.00 1 in 6083
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68128 4512 6.62
Guangdong 1585 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1035 4 0.39
Hunan 1019 4 0.39
Anhui 991 6 0.61
Jiangxi 937 1 0.11
Heilongjiang 928 13 1.40
Shandong 787 7 0.89
Jiangsu 653 0 0.00
Shanghai 641 7 1.09
Beijing 593 8 1.35
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 355 1 0.28
Hebei 328 6 1.83
Shaanxi 279 3 1.08
Guangxi 254 2 0.79
Shanxi 197 0 0.00
Inner Mongolia 194 1 0.52
Tianjin 189 3 1.59
Yunnan 184 2 1.09
Hainan 168 6 3.57
Guizhou 147 2 1.36
Liaoning 146 2 1.37
Gansu 139 2 1.44
Jilin 108 1 0.93
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 2656.39 152.67 1 in 376
Spain 4565.45 474.86 1 in 219
Italy 3141.09 422.44 1 in 318
France 2380.36 326.75 1 in 420
Germany 1849.61 67.34 1 in 541
United Kingdom 2095.82 282.83 1 in 477
Turkey 1259.62 30.83 1 in 794
Iran 1072.28 67.53 1 in 933
China 60.52 3.34 1 in 16523
Russia 434.42 3.84 1 in 2302
Brazil 239.06 15.91 1 in 4183
Canada 1151.53 59.62 1 in 868
Belgium 3754.12 569.30 1 in 266
Netherlands 2090.86 244.00 1 in 478
Switzerland 3325.09 180.75 1 in 301
India 17.23 0.54 1 in 58023
Portugal 2172.30 79.69 1 in 460
Peru 650.11 17.78 1 in 1538
Ireland 3645.34 164.39 1 in 274
Sweden 1655.63 199.70 1 in 604

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 145855 16388 11.24
Nassau New York 32124 1471 4.58
Suffolk New York 29567 959 3.24
Westchester New York 25959 863 3.32
Cook Illinois 25811 1142 4.42
Los Angeles California 17537 797 4.54
Wayne Michigan 14994 1396 9.31
Bergen New Jersey 14049 907 6.46
Hudson New Jersey 12681 666 5.25
Essex New Jersey 11811 932 7.89
Philadelphia Pennsylvania 11226 443 3.95
Union New Jersey 10935 515 4.71
Middlesex Massachusetts 10724 428 3.99
Miami-Dade Florida 10588 270 2.55
Fairfield Connecticut 10008 615 6.15
Passaic New Jersey 9874 350 3.54
Rockland New York 9828 436 4.44
Suffolk Massachusetts 9739 285 2.93
Middlesex New Jersey 9530 396 4.16
Orange New York 6816 268 3.93
Oakland Michigan 6634 567 8.55
Orleans Louisiana 6263 387 6.18
Essex Massachusetts 6219 245 3.94
New Haven Connecticut 6064 372 6.13
Jefferson Louisiana 5929 306 5.16
King Washington 5532 385 6.96
Ocean New Jersey 5444 286 5.25
Harris Texas 5330 82 1.54
Monmouth New Jersey 5238 260 4.96
Macomb Michigan 4862 493 10.14
Morris New Jersey 4680 324 6.92
Norfolk Massachusetts 4541 290 6.39
Broward Florida 4431 157 3.54
Marion Indiana 4408 228 5.17
Providence Rhode Island 4350 0 0.00
Hartford Connecticut 4303 469 10.90
Prince George’s Maryland 4141 150 3.62
Worcester Massachusetts 3798 133 3.50
Plymouth Massachusetts 3529 141 4.00
Montgomery Pennsylvania 3395 230 6.77
District of Columbia District of Columbia 3361 139 4.14
Clark Nevada 3314 163 4.92
Riverside California 3218 100 3.11
Montgomery Maryland 3060 139 4.54
Mercer New Jersey 2991 163 5.45
Maricopa Arizona 2970 115 3.87
Delaware Pennsylvania 2902 123 4.24
Hampden Massachusetts 2836 244 8.60
Somerset New Jersey 2798 196 7.01
Dallas Texas 2763 72 2.61

Overall US Choropleth Map

Choropleths are an ideal way to visualize the COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc